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Pre-launch / First modules December 14, 2026.Training the AI/ML Security Engineer.

The lab environment

SIFT.
The environment behind every lab.

SIFT is the backend virtual environment for every sicurity.ai course and lab. It ties each lab to the AI resources the work needs, so all four tracks practice on one consistent foundation.

Lab backendSIFT logo
Created by Rob T. Lee

Where it sits

One path from lesson
to AI resources.

Every course and lab uses the same environment. The tracks differ in what you defend; SIFT is what they share.

  1. 01

    Course

    A module sets the problem, the objectives, and the artifact you build.

  2. 02

    Lab

    The hands-on exercise where you build, test, and keep the evidence.

  3. 03

    SIFT

    The backend virtual environment every lab runs on.

  4. 04

    AI resources

    The AI resources a lab needs, reached through SIFT.

Why it matters for training

Practice in context.
Not in a vacuum.

AI security work happens where systems meet AI resources. A shared environment keeps labs comparable across modules and tracks, so the skills you build in one carry into the next.

The labs follow one fictional company across four planned tracks. SIFT is the common ground underneath them.

See the four tracks ↗

Before you plan around it

What is confirmed.
What is not.

Current status

Labs are planned for your own environment or a browser container. Each released module will confirm setup requirements and any cloud or API costs before you begin.

SIFT lab access is not available yet. Access details, setup requirements, and any cloud or API costs will be stated with each module release.

First modules December 14, 2026. Nothing to pay today. The screens below preview the planned lab environment. Access and setup will be confirmed with each release.

Keep your judgment. Build your skills.

The AI/ML Security Engineer
role starts here.